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Development of a Remote Sensing-Aided Digital Databank for Large Scale Land Use Planning,
NORTH CAROLINA STATE UNIV RALEIGH
The primary objective of this investigation was to combine remotely-sensed data with ground-acquired data in development of a procedure specifically for selection of a site for urban development and generally for large scale land use planning. The study area, jointly selected by the resource managers and researchers, is approximately 500 sq km in size and covers the Frenchman Reservoir basin in northeastern part of the Sierra Nevada Mountains of California. The approach involved a spatially-referenced databank based on both remotely-sensed and ground acquired data. The remotely-sensed data included Landsat Multispectral Scanner MSS data, NOAA-5 satellite Very High Resolution Radiometer VHRR data, and U-2 color infrared photography. The ground-acquired data included USGS topograpic maps, Defense Mapping Agency DMAUSGS digital terrain data, soils maps, vegetation data, and accessibility maps.
This article is from 'Papers Selected for Presentation at the International Symposium on Remote Sensing of Environment (16th) Held at Buenos Aires, Argentina on 2-9 June 1982. Volume 2,' AD-A134 720. p749-759.